Inventors:
- Redmond WA, US
Xinying Song - Bellevue WA, US
Jianfeng Gao - Woodinville WA, US
Chenlei Guo - Redmond WA, US
Byungki Byun - Issaquah WA, US
Brian D. Remick - Morgan Hill CA, US
Edward Thiele - Mountain View CA, US
Mohammed Aatif Ali - Union City CA, US
Marcus Gois - San Jose CA, US
Yang Zou - Mountain View CA, US
Mariana Stepp - Santa Clara CA, US
Divya Jetley - Bellevue WA, US
Stephen Friesen - Dublin CA, US
International Classification:
G06F 17/30
H04L 12/58
Abstract:
Techniques for providing a people recommendation system for predicting and recommending relevant people (or other entities) to include in a conversation. In an exemplary embodiment, a plurality of conversation boxes associated with communications between a user and target recipients, or between other users and recipients, are collected and stored as user history. During a training phase, the user history is used to train encoder and decoder blocks in a de-noising auto-encoder model. During a prediction phase, the trained encoder and decoder are used to predict one or more recipients for a current conversation box composed by the user, based on contextual and other signals extracted from the current conversation box. The predicted recipients are ranked using a scoring function, and the top-ranked individuals or entities may be recommended to the user.